20260225
14172900
1.0
FALSE
CalculateField tambon_2559 TB_IDN [Code_Tambo] VB #
CalculateField tambon_2559 TB_TN [TAM_NAM_T] VB #
CalculateField tambon_2559 TB_EN [TAM_NAME] VB #
CalculateField tambon_2559 AP_IDN [AMPHOE_IDN] VB #
CalculateField tambon_2559 AP_TN [AMPHOE_T] VB #
CalculateField tambon_2559 AP_EN [AMPHOE_E] VB #
CalculateField tambon_2559 AP_EN [AMP_NAME] VB #
CalculateField tambon_2559 PV_IDN [PROV_CODE] VB #
CalculateField tambon_2559 PV_CODE [PROV_CODE] VB #
CalculateField tambon_2559 PV_TN [PROV_NAM_T] VB #
CalculateField tambon_2559 PV_EN [Province] VB #
CalculateField tambon_GISTDA_2559 Area_Rai [Area_m]/1600 VB #
CalculateField L05_Tambon_GISTDA_2559 Area_Rai [Area_m]/1600 VB #
CalculateField L05_Tambon_GISTDA_2559 Area_Rai [Area_m]/1600 VB #
JoinField L05_Tambon_ESRI_2559 TB_IDN F:\1_Disaster\3_drought\temp999\zonal.dbf Mean #
AddField L05_Tambon_ESRI_2559 CODE LONG # # # # NULLABLE NON_REQUIRED #
CalculateField L05_Tambon_ESRI_2559 CODE 0 VB #
CalculateField L05_Tambon_ESRI_2559 CODE 1 VB #
CalculateField L05_Tambon_ESRI_2559 AMP Right( [AP_TN],2 ) VB #
CalculateField L05_Tambon_ESRI_2559 AMP [AP_TN] VB #
Clip E:/model_flood/02_Processing_fl/database/L05_Tambon_ESRI_2559.shp E:/model_flood/02_Processing_fl/output_fl/er5_S1A_20251124_0602.shp E:\model_flood\02_Processing_fl\output_fl\cl_S1A_20251124_0602.shp #
Dissolve E:/model_flood/02_Processing_fl/output_fl/cl_S1A_20251124_0602.shp E:\model_flood\02_Processing_fl\output_fl\ds1_S1A_20251124_0602.shp TB_IDN;TB_TN;AP_IDN;AP_TN;PV_IDN;PV_TN;RE_ROYIN;RE_NESDB # MULTI_PART DISSOLVE_LINES
Project E:/model_flood/02_Processing_fl/output_fl/ds1_S1A_20251124_0602.shp E:\model_flood\02_Processing_fl\output_fl\pj1_S1A_20251124_0602.shp PROJCS['WGS_1984_UTM_Zone_47N',GEOGCS['GCS_WGS_1984',DATUM['D_WGS_1984',SPHEROID['WGS_1984',6378137.0,298.257223563]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',500000.0],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',99.0],PARAMETER['Scale_Factor',0.9996],PARAMETER['Latitude_Of_Origin',0.0],UNIT['Meter',1.0]] # GEOGCS['GCS_WGS_1984',DATUM['D_WGS_1984',SPHEROID['WGS_1984',6378137.0,298.257223563]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]] NO_PRESERVE_SHAPE # NO_VERTICAL
MultipartToSinglepart E:/model_flood/02_Processing_fl/output_fl/pj1_S1A_20251124_0602.shp E:\model_flood\02_Processing_fl\output_fl\mul_S1A_20251124_0602.shp
CopyFeatures E:/model_flood/02_Processing_fl/output_fl/mul_S1A_20251124_0602.shp E:\model_flood\02_Processing_fl\output_fl\ca1_S1A_20251124_0602.shp # 0 0 0
AddField E:\model_flood\02_Processing_fl\output_fl\ca1_S1A_20251124_0602.shp F_AREA DOUBLE # # # # NULLABLE NON_REQUIRED #
CalculateField E:\model_flood\02_Processing_fl\output_fl\ca1_S1A_20251124_0602.shp F_AREA !shape.area! PYTHON_9.3 #
CalculateAreas E:/model_flood/02_Processing_fl/output_fl/mul_S1A_20251124_0602.shp E:\model_flood\02_Processing_fl\output_fl\ca1_S1A_20251124_0602.shp
Select E:/model_flood/02_Processing_fl/output_fl/ca1_S1A_20251124_0602.shp E:\model_flood\02_Processing_fl\output_fl\sel_S1A_20251124_0602.shp "F_AREA > 10000"
Dissolve E:/model_flood/02_Processing_fl/output_fl/sel_S1A_20251124_0602.shp E:\model_flood\02_Processing_fl\output_fl\ds2_S1A_20251124_0602.shp TB_IDN;TB_TN;AP_IDN;AP_TN;PV_IDN;PV_TN;RE_ROYIN;RE_NESDB # MULTI_PART DISSOLVE_LINES
CopyFeatures E:/model_flood/02_Processing_fl/output_fl/ds2_S1A_20251124_0602.shp E:\model_flood\02_Processing_fl\output_fl\ca2_S1A_20251124_0602.shp # 0 0 0
AddField E:\model_flood\02_Processing_fl\output_fl\ca2_S1A_20251124_0602.shp F_AREA DOUBLE # # # # NULLABLE NON_REQUIRED #
CalculateField E:\model_flood\02_Processing_fl\output_fl\ca2_S1A_20251124_0602.shp F_AREA !shape.area! PYTHON_9.3 #
CalculateAreas E:/model_flood/02_Processing_fl/output_fl/ds2_S1A_20251124_0602.shp E:\model_flood\02_Processing_fl\output_fl\ca2_S1A_20251124_0602.shp
AddField E:/model_flood/02_Processing_fl/output_fl/ca2_S1A_20251124_0602.shp flood_area FLOAT # # # # NULLABLE NON_REQUIRED #
CalculateField E:/model_flood/02_Processing_fl/output_fl/ca2_S1A_20251124_0602.shp flood_area !F_AREA!/1600 PYTHON_9.3 #
Project E:/model_flood/02_Processing_fl/output_fl/ca2_S1A_20251124_0602.shp E:\model_flood\02_Processing_fl\ok\S1A_20251124_0602.shp GEOGCS['GCS_WGS_1984',DATUM['D_WGS_1984',SPHEROID['WGS_1984',6378137.0,298.257223563]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]] # PROJCS['WGS_1984_UTM_Zone_47N',GEOGCS['GCS_WGS_1984',DATUM['D_WGS_1984',SPHEROID['WGS_1984',6378137.0,298.257223563]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',500000.0],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',99.0],PARAMETER['Scale_Factor',0.9996],PARAMETER['Latitude_Of_Origin',0.0],UNIT['Meter',1.0]] NO_PRESERVE_SHAPE # NO_VERTICAL
ca2_S1A_20251124_0602
002
0.000
file://\\PANIDA\E$\model_flood\02_Processing_fl\output_fl\ca2_S1A_20251124_0602.shp
Local Area Network
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.4'><WKT>PROJCS["WGS_1984_UTM_Zone_47N",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",99.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",32647]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</YOrigin><XYScale>450445547.3910538</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>32647</WKID><LatestWKID>32647</LatestWKID></ProjectedCoordinateSystem>
WGS_1984_UTM_Zone_47N
20260225
14172800
20260225
14172800
Version 6.2 (Build 9200) ; Esri ArcGIS 10.4.1.5686
S1A_20251124_0602
Shapefile
0.000
dataset
EPSG
6.11.1(3.0.1)
0
Simple
FALSE
0
FALSE
FALSE
ca2_S1A_20251124_0602
Feature Class
0
FID
FID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
TB_IDN
TB_IDN
Integer
10
10
0
TB_TN
TB_TN
String
50
0
0
AP_IDN
AP_IDN
Integer
10
10
0
AP_TN
AP_TN
String
50
0
0
PV_IDN
PV_IDN
Integer
10
10
0
PV_TN
PV_TN
String
50
0
0
RE_NESDB
RE_NESDB
String
50
0
0
RE_ROYIN
RE_ROYIN
String
50
0
0
20260225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